Finite Mathematics & Its Applications (12th Edition)
12th Edition
ISBN: 9780134507125
Author: Goldstein
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 4, Problem 19RE
(a)
To determine
To calculate: The number of lacrosse sticks of each type should be manufactured to maximize the total profit, the maximum profit by simplex method and the chart which is as shown below, shows the labor requirements and profits for each type of lacrosse stick.
| Attack | Defense | |
| Cutting | 2 labor-hours | 1 labor-hours |
| Stringing | 1 labor-hours | 3 labor-hours |
| Finishing | 2 labor-hours | 2 labor-hours |
| Profit | $16 | $20 |
Each day, the company has the availability 120 labor-hours for cutting, 150 labor-hours for stringing, and 140 labor-hours for finishing.
(b)
To determine
To calculate: The profit that the company must be able to make on each tennis racket in order to justify the diversification by also making tennis rackets, if rackets requires 1 labor-hour for cutting, 4 labor-hours for stringing, and 2 labor-hours for finishing.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The OU process studied in the previous problem is a common model for interest rates.
Another common model is the CIR model, which solves the SDE:
dX₁ = (a = X₁) dt + σ √X+dWt,
-
under the condition Xoxo. We cannot solve this SDE explicitly.
=
(a) Use the Brownian trajectory simulated in part (a) of Problem 1, and the Euler
scheme to simulate a trajectory of the CIR process. On a graph, represent both the
trajectory of the OU process and the trajectory of the CIR process for the same
Brownian path.
(b) Repeat the simulation of the CIR process above M times (M large), for a large
value of T, and use the result to estimate the long-term expectation and variance
of the CIR process. How do they compare to the ones of the OU process?
Numerical application: T = 10, N = 500, a = 0.04, x0 = 0.05, σ = 0.01, M = 1000.
1
(c) If you use larger values than above for the parameters, such as the ones in Problem
1, you may encounter errors when implementing the Euler scheme for CIR. Explain
why.
Refer to page 1 for a problem involving proving the distributive property of matrix
multiplication.
Instructions: Provide a detailed proof using matrix definitions and element-wise operations.
Show all calculations clearly.
Link [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]
Refer to page 30 for a problem requiring solving a nonhomogeneous differential equation
using the method of undetermined coefficients.
Instructions: Solve step-by-step, including the complementary and particular solutions. Clearly
justify each step.
Link [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]
Chapter 4 Solutions
Finite Mathematics & Its Applications (12th Edition)
Ch. 4.1 - 1. Determine by inspection a particular solution...Ch. 4.1 - Prob. 2CYUCh. 4.1 - For each of the following linear programming...Ch. 4.1 - For each of the following linear programming...Ch. 4.1 - For each of the following linear programming...Ch. 4.1 - For each of the following linear programming...Ch. 4.1 - For each of the following linear programming...Ch. 4.1 - For each of the following linear programming...Ch. 4.1 - 712For each of the linear programming problems in...Ch. 4.1 - 7–12 For each of the linear programming problems...
Ch. 4.1 - 712For each of the linear programming problems in...Ch. 4.1 - 7–12 For each of the linear programming problems...Ch. 4.1 - 7–12 For each of the linear programming problems...Ch. 4.1 - 712For each of the linear programming problems in...Ch. 4.1 - In Exercises 13–20, find the particular solution...Ch. 4.1 - In Exercises 1320, find the particular solution...Ch. 4.1 - In Exercises 13–20, find the particular solution...Ch. 4.1 - In Exercises 1320, find the particular solution...Ch. 4.1 - In Exercises 13–20, find the particular solution...Ch. 4.1 - Prob. 18ECh. 4.1 - In Exercises 13–20, find the particular solution...Ch. 4.1 - In Exercises 1320, find the particular solution...Ch. 4.1 - Pivot the simplex tableau...Ch. 4.1 - Pivot the simplex tableau...Ch. 4.1 - 23. (a) Name the group I and group II variables in...Ch. 4.1 - 24. (a) Name the group I and group II variables in...Ch. 4.2 - 1. Which of these simplex tableaux has a solution...Ch. 4.2 - Prob. 2CYUCh. 4.2 - In Exercises 1–6, determine the next pivot element...Ch. 4.2 - In Exercises 16, determine the next pivot element...Ch. 4.2 - In Exercises 16, determine the next pivot element...Ch. 4.2 - In Exercises 1–6, determine the next pivot element...Ch. 4.2 - Prob. 5ECh. 4.2 - In Exercises 16, determine the next pivot element...Ch. 4.2 - !! For each of the simplex tableaux in Exercises...Ch. 4.2 - For each of the simplex tableaux in Exercises...Ch. 4.2 - !! For each of the simplex tableaux in Exercises...Ch. 4.2 - For each of the simplex tableaux in Exercises...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - In Exercises 11–20, solve the linear programming...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - In Exercises 11–20, solve the linear programming...Ch. 4.2 - In Exercises 11–20, solve the linear programming...Ch. 4.2 - In Exercises 11–20, solve the linear programming...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - In Exercises 1120, solve the linear programming...Ch. 4.2 - 21. Toy Factory A toy manufacturer makes...Ch. 4.2 - 22. Agriculture A large agricultural firm has 250...Ch. 4.2 - 23. Furniture Factory Suppose that a furniture...Ch. 4.2 - Stereo Store A stereo store sells three brands of...Ch. 4.2 - Weight Loss and exercise As part of a...Ch. 4.2 - 26. Furniture Factory A furniture manufacturer...Ch. 4.2 - Prob. 27ECh. 4.2 - Baby Products A baby products company makes car...Ch. 4.2 - Potting Soil Mixes A lawn and garden store creates...Ch. 4.2 - Prob. 30ECh. 4.2 - Prob. 31ECh. 4.2 - 32. Maximize subject to the constraints
Ch. 4.2 - Maximize 60x+90y+300z subject to the constraints...Ch. 4.2 - 34. Maximize subject to the constraints
Ch. 4.2 - Maximize 2x+4y subject to the constraints...Ch. 4.2 - Prob. 36ECh. 4.2 - In Exercises 1–6, determine the next pivot element...Ch. 4.3 - 1. Convert the following minimum problem into a...Ch. 4.3 - Suppose that the solution of a minimum problem...Ch. 4.3 - In Exercises 14, write each linear programming...Ch. 4.3 - In Exercises 14, write each linear programming...Ch. 4.3 - In Exercises 1–4, write each linear programming...Ch. 4.3 - In Exercises 1–4, write each linear programming...Ch. 4.3 - Prob. 5ECh. 4.3 - Prob. 6ECh. 4.3 - Prob. 7ECh. 4.3 - Prob. 8ECh. 4.3 - In Exercises 916, solve the linear programming...Ch. 4.3 - In Exercises 9–16, solve the linear programming...Ch. 4.3 - In Exercises 9–16, solve the linear programming...Ch. 4.3 - In Exercises 9–16, solve the linear programming...Ch. 4.3 - Prob. 13ECh. 4.3 - In Exercises 916, solve the linear programming...Ch. 4.3 - In Exercises 916, solve the linear programming...Ch. 4.3 - Prob. 16ECh. 4.3 - 17. Nutrition A dietitian is designing a daily...Ch. 4.3 - Electronics Manufacture A manufacturing company...Ch. 4.3 - Supply and Demand An appliance store sells three...Ch. 4.3 - 20. Political Campaign A citizen decides to...Ch. 4.3 - Inventory A Manufacturer of computers must fill...Ch. 4.3 - Prob. 22ECh. 4.3 - Prob. 23ECh. 4.3 - 24. Maximize subject to the constraints
Ch. 4.4 - Consider the furniture manufacturing problem,...Ch. 4.4 - Prob. 2CYUCh. 4.4 - Prob. 1ECh. 4.4 - Prob. 2ECh. 4.4 - Exercises 3 and 4 refer to the transportation...Ch. 4.4 - Exercises 3 and 4 refer to the transportation...Ch. 4.4 - Prob. 5ECh. 4.4 - Prob. 6ECh. 4.4 - Prob. 7ECh. 4.4 - Prob. 8ECh. 4.4 - Prob. 9ECh. 4.4 - Prob. 10ECh. 4.4 - Prob. 11ECh. 4.4 - Prob. 12ECh. 4.4 - Prob. 13ECh. 4.4 - In Exercises 13 and 14, give the matrix...Ch. 4.4 - Prob. 15ECh. 4.4 - Prob. 16ECh. 4.4 - Prob. 17ECh. 4.4 - Prob. 18ECh. 4.4 - 19. Create a sensitivity report for the...Ch. 4.4 - Create a sensitivity report for the nutrition...Ch. 4.5 - A linear programming problem involving three...Ch. 4.5 - Prob. 2CYUCh. 4.5 - Prob. 1ECh. 4.5 - Prob. 2ECh. 4.5 - In Exercises 16, determine the dual problem of the...Ch. 4.5 - In Exercises 16, determine the dual problem of the...Ch. 4.5 - Prob. 5ECh. 4.5 - Prob. 6ECh. 4.5 - 7. The final simplex tableau for the linear...Ch. 4.5 - The final simplex tableau for the dual of the...Ch. 4.5 - Prob. 9ECh. 4.5 - Prob. 10ECh. 4.5 - Prob. 11ECh. 4.5 - In Exercises 11–14, determine the dual problem....Ch. 4.5 - Prob. 13ECh. 4.5 - In Exercises 11–14, determine the dual problem....Ch. 4.5 - 15. Cutting edge Knife Co. Give an economic...Ch. 4.5 - Prob. 16ECh. 4.5 - Prob. 17ECh. 4.5 - Prob. 18ECh. 4.5 - Prob. 19ECh. 4.5 - Use the dual to solve Exercises 20 and 21....Ch. 4.5 - Use the dual to solve Exercises 20 and...Ch. 4 - 1. What is the standard maximization form of a...Ch. 4 - Prob. 2FCCECh. 4 - Prob. 3FCCECh. 4 - Give the steps for carrying out the simplex method...Ch. 4 - Prob. 5FCCECh. 4 - Prob. 6FCCECh. 4 - Prob. 7FCCECh. 4 - State the fundamental theorem of duality.Ch. 4 - Prob. 9FCCECh. 4 - 10. What is meant by “sensitivity analysis”?
Ch. 4 - Prob. 11FCCECh. 4 - In Exercises 1–10, use the simplex method to solve...Ch. 4 - Prob. 2RECh. 4 - Prob. 3RECh. 4 - Prob. 4RECh. 4 - Prob. 5RECh. 4 - Prob. 6RECh. 4 - Prob. 7RECh. 4 - Prob. 8RECh. 4 - Prob. 9RECh. 4 - Prob. 10RECh. 4 - Prob. 11RECh. 4 - Determine the dual problem of the linear...Ch. 4 - Prob. 13RECh. 4 - Prob. 14RECh. 4 - Prob. 15RECh. 4 - Consider the linear programming problems in...Ch. 4 - Prob. 17RECh. 4 - Nutrition A camp counselor wants to make a...Ch. 4 - Prob. 19RECh. 4 - 20. Stereo Store Consider the stereo store of...Ch. 4 - Jason’s House of Cheese offers two cheese...Ch. 4 - Prob. 2PCh. 4 - Prob. 3PCh. 4 - Jasons House of Cheese offers two cheese...Ch. 4 - Jasons House of Cheese offers two cheese...Ch. 4 - Prob. 6P
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.Similar questions
- Refer to page 5 for a problem requiring finding the critical points of a multivariable function. Instructions: Use partial derivatives and the second partial derivative test to classify the critical points. Provide detailed calculations. Link [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 3 for a problem on evaluating limits involving indeterminate forms using L'Hôpital's rule. Instructions: Apply L'Hôpital's rule rigorously. Show all derivatives and justify the steps leading to the solution. Link [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forward3. Let {X} be an autoregressive process of order one, usually written as AR(1). (a) Write down an equation defining X₁ in terms of an autoregression coefficient a and a white noise process {} with variance σ². Explain what the phrase "{} is a white noise process with variance o?" means. (b) Derive expressions for the variance 70 and the autocorrelation function Pk, k 0,1,. of the {X} in terms of o2 and a. Use these expressions to suggest an estimate of a in terms of the sample autocor- relations {k}. (c) Suppose that only every second value of X is observed, resulting in a time series Y X2, t = 1, 2,.... Show that {Y} forms an AR(1) process. Find its autoregression coefficient, say d', and the variance of the underlying white noise process, in terms of a and o². (d) Given a time series data set X1, ..., X256 with sample mean = 9.23 and sample autocorrelations ₁ = -0.6, 2 = 0.36, 3 = -0.22, p = 0.13, 5 = -0.08, estimate the autoregression coefficients a and a' of {X} and {Y}.arrow_forward
- #8 (a) Find the equation of the tangent line to y = √x+3 at x=6 (b) Find the differential dy at y = √x +3 and evaluate it for x=6 and dx = 0.3arrow_forwardRefer to page 96 for a problem involving the heat equation. Solve the PDE using the method of separation of variables. Derive the solution step-by-step, including the boundary conditions. Instructions: Stick to solving the heat equation. Show all intermediate steps, including separation of variables, solving for eigenvalues, and constructing the solution. Irrelevant explanations are not allowed. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardQ.2 Q.4 Determine ffx dA where R is upper half of the circle shown below. x²+y2=1 (1,0)arrow_forward
- Refer to page 83 for a vector field problem requiring verification of conservative nature and finding a scalar potential function. Instructions: Focus strictly on verifying conditions for conservativeness and solving for the potential function. Show all work step-by-step. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]arrow_forward1000 1500 2000 Quarterly sales of videos in the Leeds "Disney" store are shown in figure 1. Below is the code and output for an analysis of these data in R, with the sales data stored in the time series object X. Explain what is being done at points (i)-(iv) in the R code. Explain what is the difference between (v) and (vi) in the R code. Explain, giving reasons, which of (v) and (vi) is preferable. Write out the model with estimated parameters in full. (The relevant points in the R code are denoted #2#2#3#23 (i) #### etc.) Given that the sales for the four quarters of 2018 were 721, 935, 649, and 1071, use model-based forecasting to predict sales for the first quarter of 2019. (A point forecast is sufficient; you do not need to calculate a prediction interval.) Suggest one change to the fitted model which would improve the analysis. (You can assume that the choice of stochastic process at (v) in the R code is the correct one for these data.) 2010 2012 2014 Time 2016 Figure 1:…arrow_forward2. Let {X} be a moving average process of order q (usually written as MA(q)) defined on tЄ Z as where {et} is a white noise process with variance 1. (1) (a) Show that for any MA(1) process with B₁ 1 there exists another MA(1) pro- cess with the same autocorrelation function, and find the lag 1 moving average coefficient (say) of this process. (b) For an MA(2) process, equation (1) becomes X=&t+B₁et-1+ B2ɛt-2- (2) i. Define the backshift operator B, and write equation (2) in terms of a polyno- mial function B(B), giving a clear definition of this function. ii. Hence show that equation (2) can be written as an infinite order autoregressive process under certain conditions on B(B), clearly stating these conditions.arrow_forward
- explain the importance of the Hypothesis test in a business setting, and give an example of a situation where it is helpful in business decision making.arrow_forwardRefer to page 92 for a problem involving solving coupled first-order ODEs using Laplace transforms. Instructions: Solve step-by-step using Laplace transforms. Show detailed algebraic manipulations and inversions. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing] Refer to page 86 for a problem involving solving Legendre's differential equation. Instructions: Solve using power series or standard solutions. Clearly justify every step and avoid unnecessary explanations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardConsider the time series model X₁ = u(t)+s(t) + εt. Assuming the standard notation used in this module, what do each of the terms Xt, u(t), s(t) and & represent? In a plot of X against t, what features would you look for to determine whether the terms μ(t) and s(t) are required? Explain why μ(t) and s(t) are functions of t, whilst t is a subscript in X and εt.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
Algebra for College StudentsAlgebraISBN:9781285195780Author:Jerome E. Kaufmann, Karen L. SchwittersPublisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Algebra for College Students
Algebra
ISBN:9781285195780
Author:Jerome E. Kaufmann, Karen L. Schwitters
Publisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Solve ANY Optimization Problem in 5 Steps w/ Examples. What are they and How do you solve them?; Author: Ace Tutors;https://www.youtube.com/watch?v=BfOSKc_sncg;License: Standard YouTube License, CC-BY
Types of solution in LPP|Basic|Multiple solution|Unbounded|Infeasible|GTU|Special case of LP problem; Author: Mechanical Engineering Management;https://www.youtube.com/watch?v=F-D2WICq8Sk;License: Standard YouTube License, CC-BY
Optimization Problems in Calculus; Author: Professor Dave Explains;https://www.youtube.com/watch?v=q1U6AmIa_uQ;License: Standard YouTube License, CC-BY
Introduction to Optimization; Author: Math with Dr. Claire;https://www.youtube.com/watch?v=YLzgYm2tN8E;License: Standard YouTube License, CC-BY